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AlphaNet: An Attention Guided Deep Network for Automatic Image Matting

AlphaNet: An Attention Guided Deep Network for Automatic Image Matting

7 March 2020
Rishab Sharma
Rahul Deora
Anirudha Vishvakarma
ArXivPDFHTML

Papers citing "AlphaNet: An Attention Guided Deep Network for Automatic Image Matting"

4 / 4 papers shown
Title
Shrink-Perturb Improves Architecture Mixing during Population Based
  Training for Neural Architecture Search
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search
A. Chebykin
A. Dushatskiy
Tanja Alderliesten
Peter A. N. Bosman
47
0
0
28 Jul 2023
PP-Matting: High-Accuracy Natural Image Matting
PP-Matting: High-Accuracy Natural Image Matting
Guowei Chen
Yi Liu
Jian Wang
Juncai Peng
Yuying Hao
...
Zhiliang Yu
Yuning Du
Qingqing Dang
Xiaoguang Hu
Dianhai Yu
35
30
0
20 Apr 2022
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
234
5,181
0
16 Sep 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
460
15,657
0
02 Nov 2015
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